{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',\n           metric_params=None, n_jobs=1, n_neighbors=1, p=2,\n           weights='uniform')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "array(['virginica', 'virginica'], dtype='<U10')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "from scipy import *\n",
    "from sklearn import datasets, neighbors\n",
    "\n",
    "iris = datasets.load_iris()\n",
    "X, y = iris.data, iris.target\n",
    "knn = neighbors.KNeighborsClassifier(n_neighbors=1)\n",
    "knn.fit(X, y)\n",
    "iris.target_names[knn.predict([[3, 5, 4, 2], [1, 2, 3, 4]])]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(506, 13)"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "(506,)"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "boston = datasets.load_boston()\n",
    "boston.data.shape\n",
    "boston.target.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([ 21.,  55.,  82., 154.,  84.,  41.,  30.,   8.,  10.,  21.]),\n array([ 5. ,  9.5, 14. , 18.5, 23. , 27.5, 32. , 36.5, 41. , 45.5, 50. ]),\n <a list of 10 Patch objects>)"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5,0,'price')"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'count')"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 直方图\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "plt.hist(boston.target)\n",
    "plt.xlabel('price')\n",
    "plt.ylabel('count')\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 288x216 with 0 Axes>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x256e0708128>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5,0,'CRIM')"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'price')"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 288x216 with 0 Axes>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x256e075c198>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5,0,'ZN')"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'price')"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 288x216 with 0 Axes>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x256e07a70f0>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5,0,'INDUS')"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'price')"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 288x216 with 0 Axes>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x256e06a4f98>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5,0,'CHAS')"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'price')"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 288x216 with 0 Axes>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x256e1806e48>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5,0,'NOX')"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'price')"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 288x216 with 0 Axes>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x256e185a1d0>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5,0,'RM')"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'price')"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 288x216 with 0 Axes>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x256e18a53c8>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5,0,'AGE')"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'price')"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 288x216 with 0 Axes>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x256e18eaf98>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5,0,'DIS')"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'price')"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 288x216 with 0 Axes>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x256e193e240>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5,0,'RAD')"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'price')"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 288x216 with 0 Axes>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x256e19883c8>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5,0,'TAX')"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'price')"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 288x216 with 0 Axes>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x256e1903ef0>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5,0,'PTRATIO')"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'price')"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 288x216 with 0 Axes>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x256e1a1e278>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5,0,'B')"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'price')"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 288x216 with 0 Axes>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x256e1a670f0>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5,0,'LSTAT')"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'price')"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 288x216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAARgAAADQCAYAAADcQn7hAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAHStJREFUeJztnX+UHWV5xz/PLotstLKJLDRsAgFMg8aUBLaATe0hQYyK4hYomKKNHo5pz+k5SmvTJppKaKHGExVta7WpWGNFjBJcIlijDdgqleiuAUKEiAiELJRsIaGtpLLZPP1jZuPduzP3ztyZd37d53POnnvvu3Nnnp2d+c77PM/7Pq+oKoZhGC7oyNsAwzCqiwmMYRjOMIExDMMZJjCGYTjDBMYwDGeYwBiG4QwTGMMwnGECYxiGM0xgDMNwxjF5G9AqJ5xwgs6ZMydvMwyjLRkeHv4vVe1ttl1pBWbOnDkMDQ3lbYZhtCUi8kSU7cxFMgzDGSYwhmE4I3MXSUQeB/4HGAcOq2q/iMwANgNzgMeBK1T1QJLjzFl955S2x9dfnGSXqbN2cBe37HiScVU6RVh+3myuH1iQt1lGygzuHGHDtj08dfAQJ/d0s2rZPAYW9WWyv7SPHZe8ejBLVHWhqvb7n1cD21V1LrDd/9wyQeLSqD0P1g7u4ov37mXcL5cxrsoX793L2sFdOVtmpMngzhHW3LaLkYOHUGDk4CHW3LaLwZ0jzveX9rFboSgu0tuATf77TcBAjrZkwi07nozVbpSTDdv2cGhsfFLbobFxNmzb43x/aR+7FfIQGAW+JSLDIrLSbztJVZ8G8F9PDPqiiKwUkSERGRodHc3IXDeMhxT6Cms3yslTBw/Fak9zf2kfuxXyEJjFqno28Cbgj0Tkt6N+UVU3qmq/qvb39jZNwReaTpFY7UY5ObmnO1Z7mvtL+9itkLnAqOpT/ut+4GvAucAzIjITwH/dn7VdWXP+6dNjtRvlZNWyeXR3dU5q6+7qZNWyec73t2rZPLo6Jz+wujql5WO3QqYCIyIvFZFfmXgPvAF4ENgKrPA3WwHcnuQ4n7hyYaz2PHj82eBuali7UU4GFvXx4UsX0NfTjQB9Pd18+NIFLWdyYu+v3uPO2APPOk19EvA18dyAY4Avqeo3ReSHwFdE5GpgL/C7SQ4SFsTasG1Ppim6RhTBPzayYWBRX6rXXdT9bdi2h7EjkxVl7Ihmeh9kKjCq+jPgrID2Z4EL0zpOGW7ek3u6GQmwJ0v/2Kg2RbgPipKmTpUiBLeakbZvbhj1FOE+qKTAFCG41Yy0fXPDqKcID7HSzqZuSs7BrSik7ZsbRi0T11aeUwUqKTBFCG4ZRhHI+yFWSYEpQnArCnlPRDMM11QyBlOE4FYzBneOsOrW+ydNRFt16/2ZTkQzDNdUUmCKENxqxnVf383YeJ0bN65c9/XdOVlkGOlTSYEZWNTHZef0HZ3X0ynCZecUK6B64IWxWO2GUUYqKTCDO0fYMjwyqdbKluERcz8MI2MqKTBFqIPRjJ7urljthlFGKikwZcgirbtkPl0ddYMBO4R1l8zPySKjLAzuHGHx+rs4bfWdLF5/V6F75pUUmJ5pIb2DkPY8GFjUx5Xnzp4UJ7ry3NmFihMZxaMIZTDjUEmBCSsKV6RicRYnMlqhDO5/LZUUmOcPBWdiwtrzoGwXilEMyuD+11JJgSnDQLugUg0T7WXwrY18KMO1XUslBaYMA+0a1d4tg29tJKPVQG0Zru1aKikwZSiFEGX1AHOZqkmSQG0Zru1aKjnZsQz0hVS0q6eovrXROo3ib1GEIu8Z0nGoZA+mDBMJg7q6QRTVtzZap2yB2iRUUmDKMJGwvqs7fVrXlIF3RfatjdYpW6A2CZV0kcoykbC+q2v1YdqDVcvmsea2XZPcpKo+TCopMGWlTL610TpFKGWZFbkIjIh0AkPAiKq+RUROA74MzAB+BLxTVV9sdf893V0cDBhUZxMJjaLQLg+TvGIw7wMeqvn8EeBGVZ0LHACuTrLzdZfMn/KHdfjthmFkR+YCIyKzgIuBz/qfBVgK3OpvsgkYSHqczrplS+o/G4bhnjx6MJ8A/gw44n9+BXBQVQ/7n/cBgX1HEVkpIkMiMjQ6Ohp6gA3b9gRmkWzQmmFkS6YCIyJvAfar6nBtc8CmgcNcVXWjqvaran9vb2/ocdppnIFhFJmsg7yLgUtE5M3AccDL8Xo0PSJyjN+LmQU8leQgPdO6AlPSRaoHYxjtQKY9GFVdo6qzVHUO8HbgLlW9CrgbuNzfbAVwe7LjxGs3DMMNRRnJ++fAn4jIT/FiMjcl2VkZ6sEYRjuQ20A7Vf0O8B3//c+Ac9Pa9/Eh42COt3EwhpEplRzJ++Lh8VjthuGSdp4CUkmBeWHsSKx2IzntfBM1YqL2y8S8o4naL0BbnJ9KCkxZqMpN2e43USOS1n4pOyYwOZHlTelayNr9JmpEu4/JKkoWKVW6Qv6qsPY8yGpVgSzW0WlUwLzdaafaL0EU6JZLj8Mh413C2vMgq5syCyELK2DeqLB5u1C2It1pU0kXqQwD7TpFAgt/p31TZtFFDytgHqWwedVxUfulTLG7SgpMVjdvErK6KU8OKS6eZhc9rIB5X8XdgKg3epq1X+LG7vIWo0q6SMvPmx2rvcpk0UVfcmbwxNOw9ioQJ7aV5mL1cVzeIqxjXUmB6T91RmDBqf5TZ+RhTq5ksY7O3Q8Hl84Ia68CUW/0tG/yOC5vEZYnrqSLtGHbHuqH1B3x24vqq7rEdXnGdkzFRv2b007hx3F5i/B/qWQPpggnthnTQnLmYe1Fph1TsVH/5rSvxTgubxH+L+W7miNQhBPbjEvPmRWrPQlpxgCCaMdUbNS/Oe1rMY7LW4T/SyVdpCVn9vLFe/cGtudFfTT/hRcPB26XdtwiKOtwzeb7WLd1N+sumd+0m752cBe37HiScVU6RVh+3myuH1gwaZt2WoZjgqh/s4trMarLO7Coj6Ennpv0/7vsnGxXMxAt6ViF/v5+HRoaCvzdwuu+FbpsyX3XvsG1aVOov8kbIcBj6y9O7diL19/VcPDe9GldXPvWYKFZO7gr8OZ4x/mnTBEZI5iw89/X0809q5c6PXbQddfd1ZlKkF9EhlW1v9l2lXSRgsSlUbtrggJ9YaTtxjXz9Q+8MBaa1bhlx5OB3wlrN6aSZzzQskhtQtSLyYV/HJZ1qCUsqxFnMGDeA7qKiouBjlHPdRGSHZXswXSEDNgNa3dN2MXU093ldHwKBAf6gkhy0RVhQFdRSTvQGudcFyHZUckezJGQsFJYu2vCFjuPEmRNysT+r/v67sCVFiZIctFZuYZw0g6AxznXYdddkLi56oHGFhgRORF4P9APzAZ+R1V3i8j7gB+o6vcTW1Uxwi4y8IKArt2KiazD4M4R1m3dPSUWldQ1c9EVj3rBl8E1S3OgY5xzHVXcXNYmiiUwInIu8G1gFPg34ALgJf6vZ+IJz+WBX25z6i+ywZ0jrPrq/Yz53aqRg4dY9dX7j27r0oaoN+X0kPWlptetL5V2nCHqBZ93Jb08xC3uuY4ibi57oHFjMDfirWH0a8AfMHlVxh+Q4soAVWfd1t1HxWWCsSPKuq27nR97YFEf96xeymPrL+ae1UtDL6Jr3zqfrro1vbs6hWvfOn9S26pl8+iqC3B1dUjLvaKo2Y88syR5xZ1cDJ5zGQyOKzBnA3+vqkeYurzrs8CJjb4sIseJyA9E5H4R2S0i1/ntp4nIDhF5REQ2i8ixMe0qHUVLpQcxsKiPDZefNSkQveHys4IFqT6AniCgHvWCL0sKOM2R1AOL+rjsnL6jpUfSGDznMhgcV2CeB8KGIJ4OPNPk+78AlqrqWcBC4I0icj7wEeBGVZ0LHACujmnXJOae+NJY7UY4UXo7G7btYWy8rjc2ri33JKJe8HlmSaKKW9o9ncGdI2wZHjk6VGBclS3DI4lEy+WUgrgCcztwnYicXtOmInIC8KfAbY2+rB7/63/s8n8UWArc6rdvAgZi2jWJkQMh5ShD2vOgUe0rV3OGXJF2+c+oF3yec22iilvabpwLt9BlSY+4WaTVwHbgx8Cw3/YZ4JXAY8CHmu1ARDr9774S+BTwKHDQX/geYB+Q6C8rw7pIjWZo1D7pIN+lP6IEMtOuIBg1+5HnXJuoKeC03ThXbqGrkh6xBEZVD/guzTuBC4GfA88BnwW+oKq/iLCPcWChiPQAXwNeFbRZ0HdFZCWwEuCUU06JY3rhCCszWUveY0miZmlclP+McsGHuQv9p85wXvM2qgimnWHLogRqmsQeyauqL6rqTar6e6r6BlV9u6r+YxRxqdvPQby1qc8HekRkQuxmAU+FfGejqvaran9vb7nLMWYxwjYpUbvjYbV3XdfkdeEuxImZRIlPpZ1hK0IJhjjEEhgRuVBE3hXyu3eJyJIm3+/1ey6ISDfweuAhvNT3xPiZFXixnkpT7/eGuRNpPJnWDu7ijDXfYM7qOzljzTdYO7gr0veidsfzuuhduAtOUt8pZtiyKIGaJnFjMDfguTVBnIA3Nua1Db4/E9jkx2E6gK+o6h0i8mPgyyJyPbATuCmmXaWk1g0Im1q/atm8RAO66ksujKse/dys5ELU7nhe9WBcuAtpi1ajDFur58d1CdQ0iSsw84EPhvxuJ/AXjb6sqg8AiwLaf0abD9JrNJ0gyWjVRiUXmglMnLkseVz0ceyLStqi1e6rXsYVmMNAWGn+VyS0pe0JukkXr78r0TDuJAHYoleqc2Ff2qJVhjW6XBJXYL4HrBKR21X1xYlGf+Tt+4HvpmlcGXA9HyVplz3pBV707nja9qUtWu2+6mVcgfkgnsj8VEQ2A0/jxVWuAI4n4QjcspHFZLukXfbl580OLHsZdRG6MsxWTps0RatdV72cIFYWyY+h/AZwD95YmI/4r98DzlXVB1O3sMCknXEImrOSNENz/cAC3nH+KVN6LHc/PNp0pLAVkkpO2dLKadPKOJg9qrpcVX9VVbv816tU9ScuDCwyaWYcwm5mIHFa8vqBBXzsirMmXehRxKIINV3LTtnSymlTyYp2WZFmxqHRzdyopEIa+w/bdxFqulaBosexXNJUYETkK8AaVX3Uf98IVdUr0zGt+KSZcXB9M7ey/7INSzeKR5QeTC/erGfw6r0UPvwtBBuZdmIwacZhIoDaaEzEyT3doYHWOAHYVsTCxTgTo71oKjCquqTm/QVOrUmJMAV0oYytdn+jLMbW1SEsObM3sLTm0BPPsWV4JHIGqxWxyGocTNEyVXnZU7TzkAaRYzAichzwAPBeVf2mO5PagyiLsR0+omwZ3hdYWvPmHXunlHxoFFNpVSxcxw/yrqubhT1RhKNo5yEtIguMqv6fP1GxOEVVSkbthRalN6XAoZAaNmHjtBrFVIoYbExacDrtp37aBbDDhGPoiee4++HRo3b//BeHK7n0S9ws0s3Au4FvObCl0sRZnzoJCsxZfWfoQvVFI0wQRw4earqki4unvovJjkHCcfO9e48+ZBrF4MqesYsrMHuBK0RkCPgGXg3e2mepquqn0zKuSsRZnzoKx3YKnR0dofuMM2s6T8KCz8Ivb7ww4XCx3EbambMwgYgaDyx7xi7uQLuP4U0NOBtYC/wt8Hd1P0YAaT+JjumQSQO4wrh5x9RpAkVi1bJ5U5ZGgak3YNAAPxep/bRH3vbUrSEVhySFqYpC3JKZlVzLOglRYwBRFqGPQ9T6wknn1GWS2YhoY71wuBink3bmLNH5r8CE69iCISLHishKEfmsiNzpv76nHdYyqifOXJ2oJTJrWXxGWGUMj9pjuyCLuUgbtu2ZkiULo144yjDP5/mI61wFaUmSpV+KQtySma8CHsFbDeA1wLj/+im8GdavTt3CAhNnrk7UEpkT9PV0c/N7XttweZMoMZ1pXa13OrOYixTVnQkSDhfzfNIW1bDeVE931yS7wyS23YK8G/EWX3udqh517kXkFOBOvCVMfjs984pN3BhAbZr4tNV3hu639mZK6uJces6so+/jujtZzEU6vrsrcDXLrg44otJ0OZK0U+9pB45XLZs3aaAkeLGVdZfMn7S/xevvquS0jLiPt37gQ7XiAuB//hBeKYe24biQ3kFYey1hF06nyKSncNLKZ3c+8DTQ2pM5i5UTw/68sSOkunphVJyIaoSi32Vw91ohrsA8DhwX8rvj8NLYbcMvDgcHWsPaawlbzuJjV0xe+7lR5bMoMZ0DL3i9g1bcnSwu+oMvRItRZFUmIm1RjbqsblXLOrSysuPHROQxVd0x0egvxvaXwKo0jSs6YbHJiDHLSE+2RhXRVi2bF3lkcCtP5izmIsXJrmURj0h7gmec817EkdZJiSswa4GXA/8hIvuB/XgzrE8EngU+ICIfmNhYVSu9UkCSWdthT7ZrNt/HNZvvOyogUS/4MFt6ur1xGK2mdF1f9EF/X9jfkkU8Im1RDYsxHd/d+viYMhFXYB70fwxg2rGd/PzFqZmcacc2d12aPbUnYiQfvnQBH750QdPlTILoANZdMh8obumFoBt6yZm9k2aKQ7a2pimqLx4O/v+EtVeNuAPt3p3kYCIyG/gC8Kt4kyY3quonRWQGsBmYgxfnuUJVDyQ5Vha8ECAujdprCav2X0ujinZBy5lMOUbNCNkiL0ESdEP3nzqjkLbGJWxAZNSBkmUn65KZh4H3q+qPRORXgGER+TbwLmC7qq4XkdV4sZ4/z9i22CQZSRp12YqnDh4KTC9HiUfUryBYJh+/TLYa4WQ69F9Vn1bVH/nv/wdvXeo+4G3AJn+zTcBAlna1SpIsS9RlK3qmdQWml6POcQkSoqDVCwzDBbnNLRKROXjLyO4ATlLVp8ETIbygcdB3VorIkIgMjY6OZmVqKAOL+jj7lOMntZ19yvGRnrxRpg50d3WiOnXE7qGxcVSjpanre1O2FEl6RBHqsJHUSUZYl4lc/koReRmwBbhGVf876vdUdaOq9qtqf29vrzsDI7J2cBf3PPrcpLZ7Hn2OtYO7mn53YtxDIy47py90Lsvzh8YmjZvo6e6aMis5qDdVtaVI8uqNRRXqY48JfgiEtVeNzAVGRLrwxOVmVb3Nb35GRGb6v5+Jl/4uPI0Wlo/CwKK+hq7SluGR0FHBx3d3MbCoj3tWL+Wx9Rdz37VvYMPlZzUdqFWlpUjy7I1FFepGD4h2INMgr4gIcBPwkKp+vOZXW4EVwHr/9fYs7WqVNNYdDkofT3BobJyOkEE1QUPsowRGq7QUiYuCU1GJKtTtPg4m6x7MYrylZpeKyH3+z5vxhOUiEXkEuMj/XHjC5gnFmT/UzFUKGxUcdYh9PVWa85JnbyzqlIKwSyHhFLPSkHUW6XuqKqr666q60P/5hqo+q6oXqupc//W55nvLn7AF5KMuLD/BwKI+podkhcIuxFZ7HFWa85LFZMwwogp12IOg1QdE2WiPULYj+k+dQWedD9PZIfSf2rhQVBBhXlX3MR2V6XGkTZ69sahCnacIFgFbmzoBG7btYbzOhxk/oi3FAMKCfofGjnDjlQtTG9VapfV38h6dHCXmVdQpGllhApOANGMAjYKvaY5qzTMw6oKij/jNWwTzxgQmAT3Tuo7WW6lvj0ujJ12ahberlKYuC0UXQZeYwCQgLG7SSpnLsCcdkKpLU6U0tVF8TGASkPYgqqAnXdCs6aQ1Yts5JmBki2WREpBFhiBtl6ZKaWqj+FgPJgFLzuw9ujxrfXtauFpczATFyALrwSTg7oeDZ3SHtbdClUbeGu2H9WASkEVGpt3TnEa5MYFJQFYZGXNpjLJiLlICzH0xjMZYDyYB5r4YRmNMYBJi7othhGMukmEYzjCBMQzDGSYwhmE4wwTGMAxnmMAYhuEMExjDMJxhAmMYhjNMYAzDcEamAiMinxOR/SLyYE3bDBH5tog84r9Oz9ImwzDckXUP5vPAG+vaVgPbVXUusN3/bBhGBch64bV/B+oXVXsbsMl/vwkYyNImwzDcUYQYzEmq+jSA/3pi2IYislJEhkRkaHQ0vaJOhmG4oQgCExlV3aiq/ara39ubXllKwzDcUASBeUZEZgL4r/tztscwjJQogsBsBVb471cAt+doi2EYKZJ1mvoW4PvAPBHZJyJXA+uBi0TkEeAi/7NhGBUg04JTqro85FcXZmmHYRjZUAQXyTCMimICYxiGM0xgDMNwhgmMYRjOMIExDMMZJjCGYTjDBMYwDGdUUmA6RWK1G4bhhkoKzLhqrHbDMNxQSYExDKMYmMAYhuGMSgqMxWAMoxhUUmCWnzc7VrthGG7IdDZ1Vlw/sACAW3Y8ybgqnSIsP2/20XbDMLJBtKSZlf7+fh0aGsrbDMNoS0RkWFX7m21XSRfJMIxiYAJjGIYzSusiicgo8ESETU8A/suxOUkxG5NTdPugWjaeqqpNl/YorcBERUSGoviKeWI2Jqfo9kF72mgukmEYzjCBMQzDGe0gMBvzNiACZmNyim4ftKGNlY/BGIaRH+3QgzEMIydMYAzDcEalBUZE3igie0TkpyKyugD2zBaRu0XkIRHZLSLv89tniMi3ReQR/3V6AWztFJGdInKH//k0Ednh27hZRI7N2b4eEblVRB72z+dri3QeReSP/f/xgyJyi4gcV4RzKCKfE5H9IvJgTVvgeROPv/HvnwdE5Oy4x6uswIhIJ/Ap4E3Aq4HlIvLqfK3iMPB+VX0VcD7wR75Nq4HtqjoX2O5/zpv3AQ/VfP4IcKNv4wHg6lys+iWfBL6pqmcCZ+HZWojzKCJ9wHuBflV9DdAJvJ1inMPPA2+saws7b28C5vo/K4FPxz6aqlbyB3gtsK3m8xpgTd521dl4O3ARsAeY6bfNBPbkbNcs/0JbCtwBCN7ozmOCzm0O9r0ceAw/SVHTXojzCPQBTwIz8CoW3AEsK8o5BOYADzY7b8A/AMuDtov6U9keDL/8J0+wz28rBCIyB1gE7ABOUtWnAfzXE/OzDIBPAH8GHPE/vwI4qKqH/c95n8vTgVHgn3w37rMi8lIKch5VdQT4KLAXeBp4HhimWOewlrDzlvgeqrLABJWvK0ROXkReBmwBrlHV/87bnlpE5C3AflUdrm0O2DTPc3kMcDbwaVVdBPycYriVAPgxjLcBpwEnAy/FczfqKcT12IDE//cqC8w+oLaE3SzgqZxsOYqIdOGJy82qepvf/IyIzPR/PxPYn5d9wGLgEhF5HPgynpv0CaBHRCYKlOV9LvcB+1R1h//5VjzBKcp5fD3wmKqOquoYcBvwmxTrHNYSdt4S30NVFpgfAnP9yP2xeEG2rXkaJCIC3AQ8pKofr/nVVmCF/34FXmwmF1R1jarOUtU5eOfsLlW9CrgbuNzfLG8b/xN4UkTm+U0XAj+mOOdxL3C+iEzz/+cT9hXmHNYRdt62Ar/vZ5POB56fcKUik0eQKcNg1puBnwCPAh8sgD2/hdfFfAC4z/95M16MYzvwiP86I29bfXsvAO7w358O/AD4KfBV4CU527YQGPLP5SAwvUjnEbgOeBh4EPhn4CVFOIfALXhxoTG8HsrVYecNz0X6lH//7MLLisU6nk0VMAzDGVV2kQzDyBkTGMMwnGECYxiGM0xgDMNwhgmMYRjOMIExUkVELhARbfLzLv9HReTHItJRt4+P+gP9jJJTyaVjjVz5Ed5EviA+A5wBfBd4nd/2KuAyvHEhRsUwgTFSRb25VffWt4vISryyCu9W1UdFZEJgvgN8ABOYSmIukuEcf0j/jcBmVf183a+vBxb6kyyNimECYzjFn9z5JbxaKH8YsMkO4F+BD2Zpl5ENJjCGa67Hc42uUtWDIdvcgDc58MLszDKywATGcIaILAH+FLhBVb8Xtp2qfge4B1ibkWlGRpjAGE7wiy59Ac8F+qsIX7kBuEBEftOpYUammMAYrtiIVzv3Kv1lmchQVPVf8MpKWi+mQlia2kgdEbkar7DSO1T1sRhfvQGv+ttxTgwzMscExkgVETkDr8TmvcCjfiW0evaFfH0Q2A0sAZ5wY6GRJSYwRtq8DngZ3rpP3w/Z5jrg8fpGVVUR+WvgZmfWGZliFe0Mw3CGBXkNw3CGCYxhGM4wgTEMwxkmMIZhOMMExjAMZ5jAGIbhDBMYwzCcYQJjGIYz/h+RXeWa7GfVRAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 288x216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 288x216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 288x216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 288x216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 288x216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 288x216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 288x216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 288x216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAARgAAADQCAYAAADcQn7hAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJztnX+UVPWV4D+XttHWGBsUHWxBNMfBDEsE0yPksJujGMNEIun8JMRknT2ZsGeSczb+mDbt6AbIIZEMZ6KzO9lkmWR2zYkaFE37K7PG44+dDbtiGgEJMYwaEW0dIEobA53QNHf/eO+11dXvd7336lXV/ZxTp6q+9X31bnX1u3Xv/d57v6KqGIZh5MGkegtgGEbzYgrGMIzcMAVjGEZumIIxDCM3TMEYhpEbpmAMw8gNUzCGYeSGKRjDMHLDFIxhGLlxXL0FSMtpp52ms2bNqrcYhtGSbN269TeqOi1qXsMqmFmzZjEwMFBvMQyjJRGRl+LMMxfJMIzcMAVjGEZuFO4iicge4C1gFDiqqt0iMhXYCMwC9gCfUtWDWZyvf9sg6x/ezeDQMG0ijKrS1dlB75LZ9MzvCpz/6tAwZ4bMC5o/69QOnvz1QUZVaRNhxYIZrO2Zm0rmuDIUwWXfeoLn9h8ae37e6SfxyLUX108gA4AFX3+EfW8dGXt+xsmT2XLjZXWUaDz1smAuUdV5qtrtPu8DHlXV84BH3ec1079tkBvu3cng0DAAo25risGhYW64dyf92wYD52vIvLD5m194Y+w8o6r88Mm93NS/M5XMcWQogmrlAvDc/kNc9q0n6iOQAUxULgD73jrCgq8/UieJJlIWF+kjwG3u49uAnizedP3DuxkeGfV9bXhklPUP746c7zcvzvtXcueWl2NKnFyGIqhWLlHjRjFUK5eo8XpQDwWjwE9FZKuIrHTHzlDV1wDc+9P9DhSRlSIyICIDBw4ciDzRq67lEvf1oPlJx6sZTdDUq9ZzGUaZqIeCWaSqFwIfAr4kIu+Pe6CqblDVblXtnjYtcgmeMzs7Er0eND/peDVtIrHmZXEuwygThSsYVX3Vvd8P/Bi4CNgnItMB3Pv9WZyrd8lsOtrbfF/raG+jd8nsCfPb28Yrg/Y2mTAvzvtXsvDcKTEldmWYVCXDpGAZiuC8009KNG4UwxknT040Xg8KVTAicpKInOw9Bj4I/AK4H7jKnXYVcF8W5+uZ38XNH5tLl/vr71kSXZ0d3Pyxuf4rM9XeTIh3U/n+QrClsuf1hO5N9dvEN4By4ZFrL56gTGwVqf5sufGyCcqkbKtIUmTTbxE5F8dqAWeJ/A5V/bqInArcBcwE9gKfVNU3wt6ru7tbs87kXbTusbEVp0q6OjvY3Lc48vhz+h7y1UcCvLhuaSEyGEYRiMjWilXgQArNg1HVXwMX+Iy/DlxapCx+1BpgPbOzw1c5JImfWJDXaCbKskxdCmoNsPrFZPxiPXnKYBhlwhRMBbUqiOqYTGisJ0SGJIFmwygzDVtNnQeeIqglTb9nflftaf0JAs2GUWZMwVSRiYKogfUP72bk2HiNMnJMWf/w7rrXIxlGUkzBUK7iQgvyGs1Ey8dg+rcN0rtpx7jiwt5NO+pWXGhBXqOZaHkFs+aBXYyMVrkko8qaB3bVRZ4sVqIMoyy0vII5eHgk0Xje9Mzv4uPv7RrLCm4T4ePvrW9cyDDS0vIKpmz0bxvknq2D43rK3LN1sK79YAwjLS2vYDo72hON500Z+8EYRlpafhVp9bI59N69Y9zScPskYfWyOb7z06w4JTnGVpGMZqLlFUyS5DqvnaVnYXjtLCvfp1qZXHL+NO7ZOhh6TCVZ1DMZRlkotJo6S/Kopo4iqtK5WgGBU0nt9xcOqo72e4+O9rbEJQeGkSelrKZudKLcF7/4SZD6DnqvLMoVDKMsmIJJQJT74vda2HsFEadcoUzZx4YRRMuvIiUhKgkubu/dWhPnorY26d82yKJ1j3FO30MsWveYLXEbdcMsmAREuS9huwd0dXZkZm1ELWVHBaINoyhMwSQkzH3pCnChkra7jHJ/wmJBYcrHFIxRNOYiZUgWdURxdnYMK4jMK4/G3C4jDaZgMiSLjnZxMnnDFFke1dhl3M7WaAzMRcqYWhtWxbFAomJBfnk0tQSVze0y0mIKpmTEzeQNUmR55NFY+YKRlrooGBFpAwaAQVX9sIicA/wImAo8DXxOVcuzg3eB9C6ZXbMFknXbTytfMNJSrxjMl4FnK55/E7hFVc8DDgKfz+pEjRaczCKOkzXWBMtIS+EWjIicBSwFvg5cKyICLAY+4065DVgNfKfWc8UpTiwj9W48Xo2VLxhpqYeLdCtwPXCy+/xUYEhVj7rPXwF8/3NFZCWwEmDmzJmRJ7LgZHaUTekZjUGhCkZEPgzsV9WtInKxN+wz1TclVlU3ABvAqaaOOl9ZgpNWN2S0KkVbMIuAZSJyOXAC8E4ci6ZTRI5zrZizgFezOFkZgpON6qYZRhYUGuRV1RtU9SxVnQV8GnhMVa8EHgc+4U67Crgvi/OVIThpLTCNVqYsmbxfwQn4Po8Tk/l+Fm9ahg79ZXHTDKMe1C3RTlWfAJ5wH/8auCjrcwR16O8+e2phSiaNm2YxG6NZKIsFkwt5uSdJcmuSumlW92M0E01dKhDUYS5J57lqkgZtk+aQlG1p3awpoxaaWsG0ifg2gYrbec6PKAUQdEHGvSjLFLOxFTCjVppawQR1mAvrPHdT/07u3PIyo6q0ibBiwQzW9swdez1MAWRxQZZhad2jbNaU0Xg0dQwm6a6NN/Xv5IdP7h0XFP7hk3u5qX/n2JywfitZxHzKsLTukYeLabQWTa1ggjyhoPE7t7wcOR6mALK4IMtU7BjkStbiYhqtRVO7SEOHR2KNe3GTOC5VWND2urt2ZBLzKUvdTxoX0zAqaWoLJk77yP5tg/Ru2hFpZVQuE/fM72Jz32JuWT4PgGs2bmfRusea7oLsCvj7tYnYsrkRi6a2YOI0b1rzwC5GRqMVgBdH8SyXUzraOXTk6Nixg0PDodvEZklRS8eXnD+NHz65d8L4qKqtJhmxaGoLJk4842CAG1WNtyLkJcANDY9MUEzKxNLwrAO0RSbiPf6rA4GvWT2VEYemtmAgu3hGm8iEFSI/lGw3WaumyKXjqNwbq6cyomhqCyYOQUvWlbRP8k/YS/t+tVBkIl5U7o315DWiaHkFs3rZHNonBa/ytE+C9Z+8IFYcpX2ScOjI0Vzdlzz2PQrCb0new3ryGnFoeQXTM7+L5RfNCFxKHjkGAy+94XuxtU8S2idVztUJcZnhkVHWPLArs8bjl5w/LdF4LVTGsCqpR9sLozFpeQVT3dLBjzu3vOwbML7onCmMHIs+x8HDI+Osmms2bmdWSmXz4I7XEo3XSs/8rgnK1Wt7YUvVRhRNH+SNWtL1C5pW4ymf6oDxu274SSqZPFWWplZpaDggeTBgPAusJslIS1NbMHGWdOMER4PcpywS6Mq+3Nu/bTAwCdFWkYwomlrBxCk+jBMcXbFgRuJze25UnFWl6gs4rKHVlBP93y9ovBY8BR2ErSIZUTS1gomzpBu2UtImwmcXzhzXriEuL65byua+xaxeNifw/SvP49G/bZBrNm6fELPxlMyqK+bQ3jbeompvE1ZdMSexjFGEuY+2imTEIXEMRkROB64DuoEZwEdVdZeIfBl4SlX/X8YypiZOb5W8di2c1ffQWD+Zmz82l/UP7w50NSpdres37ZhQbqDueGUMqBZ545YahLlA9d7O1mgMEikYEbkIeAQ4APxv4GLgePfl6TiK5xO+B9eBuBvJp832PWlyG4eOBAeIvX4yAJv7FrNo3WO+SqZyGfhIQF1U5Xgt2clJmmIFKeiuzg5TLkYskrpIt+DsYfTHwH9kfOnNU+SwM0At5NlbpX/bIEeOxlijBm53lUwZmkklaYrVu2T2hCTE9klirpERm6Qu0oXAR1T1mLtpfSWvA6eHHSwiJwD/jGP1HAdsUtVVInIO8CNgKvA08DlVPZJQtnFUuwG3LJ+XeU3QyLF4q0jerKzcsVqqqROXGlR/y9ZrykhAUgXzJhCUMnousC/i+D8Ai1X1dyLSDvxMRP4JuBa4RVV/JCLfBT4PfCehbGMU0aw67RJttXvjrRh5yuKMkyez762JuvW8008am1/LZ0vS83f9w7snZCaPjKrlv5SIsu/6kNRFug9YIyLnVoypiJwG/BVwb9jB6vA792m7e1NgMbDJHb8N6Eko1ziC3IDr7tqRWfZpkiXaoB/9ymZX3oqRn3IBOHzEcceCPtvq+3fFkiWJm2Y9ectNI+yhlVTB9AG/BX6J4+oAfBfYDQwDX416AxFpE5HtwH6cgPELwJC78T3AK0BNKjjIuvAaJWXxBYQtb1cT5EjFbXYFb3+moM82NDwS63MliUtZT95y0wj7nidykVT1oIgsBD4HXAocAt4Avgf8QFX/EOM9RoF5ItIJ/Bh4t980v2NFZCWwEmDmzJmB5whyAyC7FPee+V0MvPQGtz+5N1CBeAQlwcVtdgVvW0xhny3oc/mZ0Zv7Fkees9lagDYbZdpDK4jEeTBu8PX71LhBvaoOicgTwEKgU0SOc62Ys4BXA47ZAGwA6O7uDvwv91ueriTsC4jj03pz4roKBw+PMP9rP2Xo8MjYeybFq5buXTKbqzdu953j97lqidl0hSxTG/WnTHtoBZHIRRKRS0XkzwNe+3MRuSTi+Gmu5YKIdAAfAJ7FWfr28meuwon1pMZzA4JM+aAvoH/bINdWZdFeW5FF683x/N4kHDw8Mi4zt3fTjkTHe+0re+Z3BVpEQYHatGZ0GZbVjWAa4ftJGoP5OnBGwGunAd+IOH468LiIPAP8HHhEVR8EvgJcKyLPA6dSo3UEzoX4t5+6INEXcMO9z1Cd2XLMHfeIU30dhULs2ItHpXWy6oqJ5QdBn6sWM7pMezQZE+mZ38XH39s19kNaxj49SV2kOcCNAa9tA/5z2MGq+gww32f81+SQpJc072Q4oLlL5XjeKyhTTmz3jc2kLW9IYkbXuq+2USz92wa5Y8tevHSsUVXu2LKX7rOnluY7S6pgjuIkw/lxao2y5ELWF0ibBPfn7ers4JLzp43tbZ0U73i/rUKqO9bF/VxxyyVso/vG46/vfYbqXM9j6oyX5TtL6iL9DOgVkcmVg+7z64D/k5Vg9SCoNW/leJji2Ny3mLU9c31dsyi8FPygrUIeeiZdx7q4bk5UrCashYRRHw4HWNxB4/UgqQVzI46SeV5ENgKv4cRVPgWcgpOB27B8ZsFMX+vh+OMmcU7fQ5zZ2RHownQFuDCxXSpXiQXFRg4edvJcgla0wlylONZOWKzGrBsjLUnzYJ4RkT8FVuPkwpyKU4P0KLBGVf8lcwlrJEkqtdf3xXNxJrlbNXoxmMGh4UCTL8yFual/5zhf2Q8vBb8zQIHB23ku/dsGWfPArgnzarnwT+lo9227eUpHu7XMLCki4GdQlykPMnHDKVXdraorVPWPVLXdvb+yrMolaSr12p65vHDz5exZt5Tpp3T4rir5EbYL4tqeufz65qXcunxeaA7Jq0PDvv8wla975QVBSihtJmfQP6VIYyR0tSJXLvBPNg0arwdN3dGu1lTqJBdQ3GXfzX2LA5XMmZ0dvBnSvPvMzg7fAsQ0slQzFKCwvOTAIHmM+rG2Zy6fXThz3DJ12g6MeRHpIonIXcANqvqC+zgMVdXl2YhWO7X+8oal5fvNjUvYyk5Q3Ebc464JyOJNK0vlMUHL2XFXooziWdszt1QKpZo4MZhpOFXP4PR7aZhClDSp1JUxmxMnx1sJClr29d7nlI52RBxroPPEdn4/Mjout6azo53Vy+aMxTN6794xodfMlQtn0jO/KzJwnPbCD1MiXt2VF5sqY0JXq3JT/85x38uKBTNKpXBEG7Rwrbu7WwcGBkLnVK9+gHPRBGWj+s2PQnAu/sovNc37gKNoPnzBdDb+/OUJbpCnhAB6N+3wdZOmnNjOqivmpFppCpuX9O9oFMNN/Tt9Vz2LcJNEZKuqdkfOi6tg3G50zwD/SVX/V43y1UwcBQPJVpGCeuZG0dXZMa46Oe37ROFd1AMvvTHhH0vAt2tfGuVQ/Tc79IejvitM1Z/bKJZ33fAT37ysNhFeuPnyXM8dV8HEXqZW1d+7hYrlyeKJQZJM3rRKoTqmk9fqiheg/s3vJnbFUOAr9zwzZnF4CmKST+Zx2BKzX85LEINDwyxa91jpuqi1Co3QTiPpKtLtwH/IQ5AykLaR0ilVm6vlubry6tAwfwhoNv6Ho8cmLM0H/bMNDg37ZuUmLeYsYxe1VqERGoIlVTB7gfeLyICIfE1EviQiX6y4/WUeQhZFWs1/6MjRcRdY75LZgWUHtRKlvNY8sCu2gvDLDUpjfZWti1qrsPDcKYnG60HSUoG/de+n4+wwUI1SQ7PuehPUYCkKv0bYMTccSIS3qhPUcAqSdcnzqHSZkizNVxLU7KrMDakbnT2v+39PQeP1IJEFo6qTIm7JKvxKhl8Dn/Y2obOjHSHc9PQusP5tg1x3V7JmUnHxArOL3hVU0J4eT/7qkoe4VFpW/dsGmbfmp1xd1bzLXKlsaYSm7IkzeUVksoisFJHvichD7v0XqiusGxG/yuP1n7iA7as+yIvrlnIsxIU6s7NjLP6Rd5Dt9i+8L7WSieryF1byEERl7k3/tkF6797hu+pkrlTrkbRl5ruB54BvA/8GGHXvv41TYf0nmUtYIsLiH5ecPy2TbndhVF6ct3/hfamCeX7Kr1JBJI3BVLd/WH3/rtAN6ax+qbVIGoPZgLP52r9T1bFEDBGZCTyEs4XJ+7MTLz1p/P+otgRh8Y8Hd7wWWkeUBYNusSM4yqYWS6lNhGOqExLq/Ja1w6jOg/GzXCqx+qXWIqmC6QZWVCoXAFXdKyJfBe7ITLIa8Mx075d0cGiY3ruduEiYkqmlLcHQ8EjqIHESeu/eAZK8p281x1R5cd3Ssedp3LukFpTVL7UeSWMwe4ATAl47AWcZu+74mekjxzRy98Mg831waJhZfQ9FFhom2YwtLSPHtGblAhMtiTTunZ8yCtrxYJJgpQUtSJqdHdeKyILKQXcztq/h7A5Qd4LM9CjzvaM9/M8RdllPObF9LEhcNuLsQJAmNuJnwSx9z3TfuZ9ZMNOUSwuSVMHcBLwT+L8i8pqI7BCR14DNOC0z/1pEnvJuWQubN8MBGbJRtLcJq65wChF75neVamOyzo72WD1508RG/CyYoFWoNKtTRuOTNAbzC/dWak6a3MahIxPN/ZMi2i+kjZku/9MZ4y7YoJ0B6oFIvHqs3iWzue7uHYwmyBD0U6TW/a4xySspMmlP3prqkERkBvAD4I9wiiY3qOrfichUYCMwCyfO8ylVPZj2PEEV4nm1pqj+dS7Tr3VQp7pqBl56I5FyCQrYhvX2NcpJnk3di26ZeRS4TlXfjbMn9Zfc3Jk+4FFVPQ+ngXhfLScpejuHoqqp0xDX9bk9ocUV1HDqyFH/QPHQ8Ihl8ZaUWlvLhlGoglHV11T1affxWzj7UncBHwFuc6fdBvQUKVetdJ5YXDV1R3sbnTGtgSTLwkltu41PveyrMMKUeO+mHaZkSkiebm3dmn6LyCycbWS3AGeo6mvgKCGc1px+x6x0K7kHDhwIdkOCLsCoC3NyW7oS6GrPq3fJbNpzKKf2ArSrl82JfP+895GOs+w/4ZhRZc0D4cfYBm/Fk2dT97ooGBF5B3APcLWq/jbucaq6QVW7VbV72rTgorzVy+ZM+GCT3PEwjqTML6nO4O2Z38X6T14Q29KIyyXnTxsL2C6/aEbgPK/TXN7LwkPDI4mVQFi1d5ptZoza8cvfyiopsnAFIyLtOMrldlW91x3eJyLT3denA/trPU9blTVS/TxL/DR9z/wutq/6YOz3iFO8eOeWlwHnQrxna/BFV2QMKEslkGcswAgm7vbCaUi6TF0TIiLA94FnVfVbFS/dD1wFrHPv76vlPH57B/n1bMmCKE0ft3xgz+vDtEXUAXmvRWXdFl3vk2SXx7BkRlvirh9JWssmoWgLZhHOlrOLRWS7e7scR7FcJiLPAZe5z1OT9z/qSZPbYmv63iWziWM7vTo0zIoFwW4PvJ05G/Y5vP2Tiibu3zZsKdw2eGs+CrVgVPVnEHi9XZrVedLshwTBe/16pNl3xttT6PYn94au1JzZ2UH32VNDE/Q8BRS2f7UC12zczur7d43txRQncarWQs24SiAszmUbvDUfTbl1bFBXtqhubUF7+n524Uz2rFvKCzdfnmq/mbU9c7ll+bzAoG97m4zt6hj1PhCdcaw4AdiDh0fGgqW9d4cvEddSqFmpBI4/Lv2/VJ6xAKM+FGrBFEXaehjvAq7cKW/huVN4/FcHOKfvoZpSqD0ft3/bIKvv3zWW7Vq5WVpYr93K0EWavjPesnKQ7N74NXdtT1Qy0VX1N/nmx9/DtXdtT92TOK9YgFEfmlLB1BKDqdzrN48U6rALKCzIW5m/lrYxd1Q1eZSS82Nz3+Kx3BWvjuUzC2aWphbLqC9N6SJlFSzMY9k0LJEsqtmTN9fPnclqET5pEym/3JWwJXSjtWhKBeOXSds+SRIHC7NejYpKJIuq9vYUm1+s4sqFMyNjKEHNoCpJ0tGus6M9UAkHqamoz2g0F03pIgETf9JT/MSnXY0KIqol52GfFhOVVCo2P1er++yprH94t6/MlT1rwkiymrR62ZzALn9Baqq9rSl/04wAmvLbDku0S0LWKdRRFlGU7RCl2Hrmd7G5bzF71i3l1uXzJmy/EidulGQ16eaf/DKxso2KAxn1Ia8asKa0YLJybbwLMqtGPFEWUVQmb5JN0dKuxvh95iCLZt9bR7h1+Tzf3JXfj4z6Kswy7ZtsODRTP5hCKGtGaJRFFJXJW1QjK88SenHd0gnbkvjN9ctdCVKTeW9KZyQnzxqwprRgssoIzVqzR1lEa3vmhi7vlrUmx89aqsz1qSTrCnOjdvIsrWlKBZOVa1PLPklhstXiYtUDwT8+FObsjIz6N54KGjfqR9aLGZU0pYKBbDJCy1bdW6+anCCnJszZ8Wu6HjZu1I/eJbPHbVQI6dI6/GjKGExWlC2WU68U+qDmeTk07TPqRQZpHX6Yggkhz05fjURQXVHaeiOjXGSV1uFH07pIWZD1MnUrMUn8FZBZPeXDgrx1xKp702FWT+OQZ5DXXKQcaZYO+UE1TGG1TUHb55ZpW13DoamafrcKzdQhP2hD+6BxsPhVI9E0Tb9bibQ5NEHFhvX85U/TwMviV41FXqEAUzA5kTZwVsa+tGk/i8WvDHORciJtDk0Z+9KWLR/IaBzMgsmJWiyRsv3yl9GqMhqDQi0YEflHEdkvIr+oGJsqIo+IyHPu/ZQiZcqLMloiaWmmz2IUS9EWzP8E/h74QcVYH/Coqq4TkT73+VcKlisXymaJ1EIzfRajOAq1YFT1n4E3qoY/AtzmPr4N6ClSJsMw8qMMQd4zVPU1APf+9KCJIrJSRAZEZODAgWKaLxmGkZ4yKJjYqOoGVe1W1e5p0+K3jzQMoz6UQcHsE5HpAO79/jrLYxhGRpRhmfp+4CpgnXt/X33FMYzWo3/bYC5Z14UqGBG5E7gYOE1EXgFW4SiWu0Tk88Be4JNFymQYrU6euwoUqmBUdUXAS5cWKYdhGG+TR+9pjzLEYAzDqCN5NpwyBWMYLU5nQF+foPEkmIIxjBYnaC+8LPbIMwVjGC3OmwH7hQeNJ8EUjGG0OHm24zAFYxgNStDFm/SizrO9aRkS7QzDSEHQJrxJN+fNs72pKRjDaFDaRBj1icS2SfLNp/Jqx2EukmE0KH7KJWy8HpiCMQwjN0zBGIaRG6ZgDKNBCYq1pInB5IUpGMNoUFYsmJFovB7YKpJhNChre+YCcOeWlxlVpU2EFQtmjI2XAdESRZyT0N3drQMDA/UWwzBaEhHZqqrdUfPMRTIMIzdMwRiGkRsN6yKJyAHgpZSHnwb8JkNxssRkS4fJlo60sp2tqpFbezSsgqkFERmI4z/WA5MtHSZbOvKWzVwkwzBywxSMYRi50aoKZkO9BQjBZEuHyZaOXGVryRiMYRjF0KoWjGEYBWAKxjCM3Gg6BSMiM0TkcRF5VkR2iciX3fGpIvKIiDzn3k9xx0VE/ouIPC8iz4jIhTnKdoKIPCUiO1zZ1rjj54jIFle2jSIy2R0/3n3+vPv6rLxkq5CxTUS2iciDZZJNRPaIyE4R2S4iA+5Y3b9T93ydIrJJRH7l/t+9rwyyichs9+/l3X4rIlcXKpuqNtUNmA5c6D4+GfgX4E+AvwH63PE+4Jvu48uBfwIEWAhsyVE2Ad7hPm4HtrjnvAv4tDv+XeAv3cdfBL7rPv40sLGAv9+1wB3Ag+7zUsgG7AFOqxqr+3fqnu824C/cx5OBzrLIViFjG/CvwNlFypb7B6v3DbgPuAzYDUx3x6YDu93H/x1YUTF/bF7Ocp0IPA0swMmkPM4dfx/wsPv4YeB97uPj3HmSo0xnAY8Ci4EH3X+0ssjmp2Dq/p0C7wRerP7sZZCtSp4PApuLlq3pXKRKXLN9Po6lcIaqvgbg3p/uTusCXq447BV3LC+Z2kRkO7AfeAR4ARhS1aM+5x+TzX39TeDUvGQDbgWu5+3G9KeWSDYFfioiW0VkpTtWhu/0XOAA8D9c1/J7InJSSWSr5NPAne7jwmRrWgUjIu8A7gGuVtXfhk31Gctt7V5VR1V1Ho61cBHw7pDzFyabiHwY2K+qWyuHQ85f6N8NWKSqFwIfAr4kIu8PmVukbMcBFwLfUdX5wCEctyOIov9uuHGzZcDdUVN9xmqSrSkVjIi04yiX21X1Xnd4n4hMd1+fjmNBgKOlK1uAnQW8mreMqjoEPIHj63aKiNf8q/L8Y7K5r58CvJGTSIuAZSKyB/gRjpt0a0lkQ1Vfde/3Az/GUc5l+E5fAV5R1S3u8004CqcMsnl8CHhaVfe5zwuTrekUjIgI8H3gWVX9VsVL9wNXuY+vwonNeOP/3o2gLwTe9MzHHGSbJiKd7uMO4APAs8DjwCcCZPNk/gTwmLrOcdao6g2qepaqzsIxpx/zgnFrAAAC5UlEQVRT1SvLIJuInCQiJ3uPceIJv6AE36mq/ivwsoh42yBeCvyyDLJVsIK33SNPhmJkyzu4VPQN+Lc4Zt0zwHb3djlOfOBR4Dn3fqo7X4Bv48RCdgLdOcr2HmCbK9svgK+64+cCTwHP45ixx7vjJ7jPn3dfP7egv+HFvL2KVHfZXBl2uLddwI3ueN2/U/d884AB93vtB6aUSLYTgdeBUyrGCpPNSgUMw8iNpnORDMMoD6ZgDMPIDVMwhmHkhikYwzBywxSMYRi5YQrGSI2IaIzbxVXH3O6OX+Xzfpe6r320avw4t7r3iXw/kZE1tkxtpMZNxvLoAB4D1gIPVYz/Ut1SDRE5EdgHvAOnaPLPfN7zTpys4ner6iF37K+AbwDzVPWXeXwWIx9sb2ojNar6pPfYrf0CeKFyvIorcJTLo8AHRGSaqh6omnMt8CtgFXC9iMxwH99iyqXxMBfJKJIVwF7gyzj9ST5ZPUGd1PSvAleLyBzg74CDwNcKlNPICFMwRiG4NVh/htOYahdOWv2KgOl/j1MS8CDwUeDLnrtkNBamYIyi+BhwPE6lNu79IhGZWT1RVUeBNcAsnCLKHxclpJEtpmCMolgBPKeqT7vPf4RTXLc8YP4XcIpW3+P1jDUaD1MwRu6IyBnAJcD9boPsTpy4ytP4uEki8jGcCvhP4/yPfqNAcY0MMQVjFMGncIK61+EoFu92ITBfRM73Jrr9Xm4F7lTVu4AbgZUi8t7CpTZqxhSMUQQrcPrfXFJ1+xBwFMdS8ViF05X/Ovf5BhxL59tuMzGjgbA8GCNXRORsnLagvar6hM/rj+AooNXusvTVwPX6dlPqYyLyReBJ4C+AfyhKdqN2zIIx8mYFzi4FdwS8/kPgj10X6L/htBD9r5UTVPXnwPeAm0Vkao6yGhljpQKGYeSGWTCGYeSGKRjDMHLDFIxhGLlhCsYwjNwwBWMYRm6YgjEMIzdMwRiGkRumYAzDyI3/DxeK9QndmS+yAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 288x216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 288x216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 288x216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 288x216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 散点图\n",
    "for counter, feature_name in enumerate(boston.feature_names):\n",
    "    plt.figure(figsize=(4, 3))\n",
    "    plt.scatter(boston.data[:, counter], boston.target)\n",
    "    plt.xlabel(feature_name, size=15)\n",
    "    plt.ylabel('price', size=15)\n",
    "    plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression(copy_X=True, fit_intercept=True, n_jobs=1, normalize=False)"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x256e1888518>"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x256e1845cf8>]"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5,0,'true value')"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'predict valye')"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 简单的预测\n",
    "# 将数据集打乱，获得训练集和验证集\n",
    "from sklearn.model_selection import train_test_split\n",
    "X_train, X_test, y_train, y_test = train_test_split(boston.data, boston.target)\n",
    "\n",
    "# 线性回归\n",
    "from sklearn.linear_model import LinearRegression\n",
    "\n",
    "lr = LinearRegression()\n",
    "lr.fit(X_train, y_train)\n",
    "y_predict = lr.predict(X_test)\n",
    "\n",
    "# 直观的对比预测值和测试值\n",
    "plt.scatter(y_test, y_predict)\n",
    "plt.plot([0, 50], [0, 50], 'r--')\n",
    "plt.xlabel('true value')\n",
    "plt.ylabel('predict valye')\n",
    "plt.tight_layout()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x256e076b048>"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x256e19235c0>]"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5,0,'true value')"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'predict valye')"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "(-2.500448028673835, 52.50940860215053, -2.5, 52.5)"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 另一种方式，没发现什么不一样。。\n",
    "ax = plt.axes()\n",
    "ax.scatter(y_test, y_predict)\n",
    "ax.plot([0, 50], [0, 50], 'r--')\n",
    "ax.set_xlabel('true value')\n",
    "ax.set_ylabel('predict valye')\n",
    "ax.axis('tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    ""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
